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Baseline
Start with a working system you can observe instead of optimizing an idea in the abstract.
by Serj Smorodinsky
Applied AI research course
Founding Student Early Access
Build AI systems that improve from evidence.
A hands-on path for software engineers, data engineers, and data scientists who want practical experience building reliable AI systems.
Build a working baseline, measure real behavior, improve from failure data, and ship a reliable system—through connected projects and feedback on the work you submit.
The method
01
Start with a working system you can observe instead of optimizing an idea in the abstract.
02
Measure real behavior with datasets, metrics, and automated assignment feedback.
03
Use failure data to guide experiments, prompt programs, and systematic optimization.
04
Turn the improved system into reliable, testable software that can evolve safely.
Who it is for
The course is designed for software engineers, data engineers, and data scientists who want practical experience with the full improvement loop—from a measurable baseline to an optimized, reliable system.
Start the first lessons